Site teardown · Reversely Ai
reversely.ai
Site health · September 8, 2026
Prepared by Harvv

What your site is actually doing.

One page: what is working, what is costing you visitors, and what to fix next. A phone-and-desktop teardown of the live site: 4 phone loads + 2 desktop loads, cross-checked against real Chrome users from Google's field data. No login, no insider access, no Harvv pixel needed. The full evidence is at the bottom.

September 8, 2026·External scan + real-user field data·4 mobile + 2 desktop loads + Google CrUX·Download as PDF

Working

What's already working. These held up across every load.

1.8s

Speed is good.

0.00

Layout stays put as it loads.

0

No JavaScript errors on load.

100/100

Lighthouse scores SEO 100/100. The fundamentals Google looks for are present.

Nothing spilled past the edge at either 390px (phone) or 1366px (desktop), so the structure is responsive.

Costing you

Ranked by what hurts conversion most. Full evidence below.

8

8 form fields have no label

tags

Meta Pixel (Facebook) is installed but misconfigured

41%

Add quotations so AI engines cite this page

4

Google Analytics tracking broken

2.1MB

Page is heavy and slow on mobile data

fix

Security headers are missing or weak

Fixing next
page weight.

One focused change, on the pages people actually land on: Page is heavy and slow on mobile data. We re-measure the same samples after.

2
hours
AI search visibility
How visible is reversely.ai to AI search?
ChatGPT, Perplexity, and Google AI Overviews are the new front page. The AI checks in this report are a preview. A free account turns them into a live 0 to 100 score, tracked daily and benchmarked against your competitors.
See the full AI report, free

This is one of several AI-built sites we tore down the same way. The same friction repeats on Contractive, and we pulled the cross-site pattern together in the vibe-code friction tax.

01Findings, ranked by what hurts conversion most

SeverityFindingHow we know
MediumPage is heavy and slow on mobile dataBothPerformance
Each visit downloads about 2.1 MB, roughly 974 KB of images and 1050 KB of JavaScript across 84 separate downloads. On a fast connection that's fine. On a phone with patchy mobile data, that's several seconds of blank screen before the page is readable.
paste into Claude, Cursor, or ChatGPT
median across loads
LowUnused JavaScript is being downloadedBothPerformance
Code that never runs on this page still costs download and parse time on every visit. Splitting or removing it speeds up load. Lighthouse measured: Est savings of 478 KiB.
paste into Claude, Cursor, or ChatGPT
LowUnused CSS is being downloadedBothPerformance
Style rules that this page never uses still block rendering while they download. Trimming them frees the paint path. Lighthouse measured: Est savings of 52 KiB.
paste into Claude, Cursor, or ChatGPT
LowThe page loads from a lot of third-party servicesBoth
Around 20 separate outside domains load on this page (analytics, ads, chat widgets, fonts). Each one is a connection that can be slow, fail, or change behavior outside your control.
paste into Claude, Cursor, or ChatGPT
median across loads
High8 form fields have no labelBothAccessibility (WCAG)ConversionTracking
Screen readers can't announce these fields, and a sighted user who clears the placeholder can't recover the prompt. Wrap each input in <label>…</label> or add aria-label.
paste into Claude, Cursor, or ChatGPT
HighMeta Pixel (Facebook) is installed but misconfiguredBothTracking
Meta Pixel installed but no Lead/Purchase/Checkout event fires on this page, only PageView. Your Meta ad sessions can't be optimized for conversions until you track at least one downstream event.
paste into Claude, Cursor, or ChatGPT
HighAdd quotations so AI engines cite this pageBothAI SearchSEO
Generative engines (ChatGPT, Perplexity, AI Overviews) lift sourced, attributed quotes almost verbatim, and quotations are the single strongest citation lever (studies measure roughly +41%). Add 1-2 attributed expert quotes or blockquotes to the pages below. (Found across a sample of 8 pages from your sitemap, a partial crawl rather than your full site.)
paste into Claude, Cursor, or ChatGPT
HighGoogle Analytics tracking brokenBothTrackingConversion
The Google Analytics request failed to complete on every one of the 4 test loads. If real visitors hit the same failure, GA is missing those visits and the dashboard has no way to flag it. Conversion numbers, audience counts, and channel attribution are all undercounting. Worth checking the tag loading order and any consent banner that might be blocking the request.
paste into Claude, Cursor, or ChatGPT
LowNo structured data for rich search resultsBoth
The page has no schema.org markup. Adding the right type (Product, Article, Organization, FAQ) lets Google show rich results like star ratings and prices, which lift click-through for free.
paste into Claude, Cursor, or ChatGPT
Low4 potential dead-click targetsBothConversionAccessibility (WCAG)Tracking
Elements styled like buttons but with no anchor, no <button> wrapper, no role="button", and no click attribute. Real visitors tap these expecting something to happen, then leave. Examples on this page: "People" (div.cat_tag), "Similar" (div.cat_tag), "Duplicates" (div.cat_tag).
paste into Claude, Cursor, or ChatGPT
LowNo llms.txt fileBothSEO
No /llms.txt. Optional: some AI tools read this file (Anthropic, Vercel, Stripe, Cloudflare and Hugging Face publish one, and AI coding assistants use it to find docs), so adding one is a cheap courtesy to them. Google has said in writing that Google Search and its AI features do not use llms.txt, so do not expect a search-ranking or AI Overviews benefit from it.
paste into Claude, Cursor, or ChatGPT
LowNo Organization or WebSite schemaBothSEO
No site-wide Organization or WebSite structured data found on any crawled page. This is the schema that tells Google and AI engines who you are (name, logo, social profiles) for the knowledge panel and brand recognition in AI answers. (Found across a sample of 8 pages from your sitemap, a partial crawl rather than your full site.)
paste into Claude, Cursor, or ChatGPT
MediumSecurity headers are missing or weakBothSecurity
The server response is missing browser-hardening headers that protect visitors and are a standard security and agency checklist item. Missing or weak here: Content-Security-Policy (the main defense against injected and cross-site scripts); clickjacking protection (X-Frame-Options or a CSP frame-ancestors rule); HSTS (Strict-Transport-Security, which forces HTTPS on return visits); X-Content-Type-Options: nosniff (stops MIME-type sniffing attacks). These are set at the server, CDN, or host level (most platforms expose them in settings or a config file) and do not change how the site looks or performs.
paste into Claude, Cursor, or ChatGPT
Medium6 interactive elements have no stable, accessible identityBothAccessibility (WCAG)Tracking
These elements are clicked like buttons but expose no accessible name, or are a plain div/span used as a control with no role. Assistive tech announces only a role (or nothing), and analytics and heatmaps have no human-readable label or stable selector to bind the click to, so the click is both inaccessible and untrackable, and any redesign silently breaks click aggregation. Give each one a real <button>/<a>, an aria-label, and a stable id or data-attribute.
paste into Claude, Cursor, or ChatGPT
LowSome text is too small to read on phonesMobileAccessibility (WCAG)Conversion
8 chunks of text come in under 12 pixels on this page. Most visitors don't zoom, they just skim past anything that small. Bumping the smallest body text to 14 pixels makes the page read without effort.
paste into Claude, Cursor, or ChatGPT
median across loads

Accessibility findings are automated checks against Web Content Accessibility Guidelines (WCAG) 2.1 and 2.2. They flag potential barriers and legal risk, not a certification or a determination of compliance with the ADA, Section 508, or EN 301 549. Automated testing catches only a subset of issues; a full conformance review needs manual and assistive-technology testing by a qualified reviewer.

From finding to fix
Want the fix, not just the finding?
Install Harvv and we turn each issue above into a ready-to-paste prompt for your AI coding assistant. Drop it into Cursor, Claude, or Copilot and the diagnosis becomes a concrete code change, written against this exact page.
Get the fix prompts

"How we know": unlabeled = a deterministic fact, identical on every load (e.g. element sizes). Most findings are this kind, so we only mark the exceptions: median across loads = a noisy lab metric, reported as a median. real-user field data = Google CrUX, actual Chrome visitors.

Structural and AI-search checks crawl up to 8 pages from your sitemap (a sample, not your full site). "Broken" means a link returned 404, 410, or 5xx, or did not respond; access-controlled pages (401, 403) are not counted.

01bTake the whole report to your AI

Every finding above in one payload, with the reasoning behind each one. The prompt is written to be pasted into Claude, Cursor, or ChatGPT. The JSON is for piping into your own tooling.

Includes the site context, what is already working (so your assistant does not "fix" it), and every finding with its severity, evidence, and why it matters.
Audit of https://www.reversely.ai/, run September 8, 2026. 15 issues were found. I want them fixed.

## Context
- Site: https://www.reversely.ai/
- Mobile LCP (lab median): 208 ms
- Desktop LCP (lab median): 202 ms
- Page weight (median): 2.1 MB
- Tap targets under 44px: 13% (4 of 32)
- Evidence base: 4 mobile + 2 desktop loads + Google CrUX field data

## Already working, do not change these
- Speed is good: Real Chrome visitors see the main content in 1.8s (Google's "good" bar is 2.5s). This is field data from actual users, not a lab guess.
- Layout stays put as it loads: Real visitors see only 0.00 of layout shift (good is under 0.10), so the page is not jumping under their finger.
- No JavaScript errors on load: Nothing threw a script error across the test loads, so buttons and tracking are not silently breaking mid-session.
- Search basics are in place: Lighthouse scores SEO 100/100. The fundamentals Google looks for are present.
- Layout holds on phone and desktop: Nothing spilled past the edge at either 390px (phone) or 1366px (desktop), so the structure is responsive.

## Issues, most damaging first

### 1. [HIGH] 8 form fields have no label
Category: Accessibility (WCAG), Conversion, Tracking
Why it matters: Screen readers can't announce these fields, and a sighted user who clears the placeholder can't recover the prompt. Wrap each input in <label>…</label> or add aria-label.
Exact elements found: name="mobileapp" (input), name="mobileapp" (input), name="hear" (input), name="hear" (input), name="usage" (input)

### 2. [HIGH] Meta Pixel (Facebook) is installed but misconfigured
Category: Tracking
Why it matters: Meta Pixel installed but no Lead/Purchase/Checkout event fires on this page, only PageView. Your Meta ad sessions can't be optimized for conversions until you track at least one downstream event.

### 3. [HIGH] Add quotations so AI engines cite this page
Category: AI Search, SEO
Why it matters: Generative engines (ChatGPT, Perplexity, AI Overviews) lift sourced, attributed quotes almost verbatim, and quotations are the single strongest citation lever (studies measure roughly +41%). Add 1-2 attributed expert quotes or blockquotes to the pages below. (Found across a sample of 8 pages from your sitemap, a partial crawl rather than your full site.)

### 4. [HIGH] Google Analytics tracking broken
Category: Tracking, Conversion
Why it matters: The Google Analytics request failed to complete on every one of the 4 test loads. If real visitors hit the same failure, GA is missing those visits and the dashboard has no way to flag it. Conversion numbers, audience counts, and channel attribution are all undercounting. Worth checking the tag loading order and any consent banner that might be blocking the request.

### 5. [MEDIUM] Page is heavy and slow on mobile data
Category: Performance
Why it matters: Each visit downloads about 2.1 MB, roughly 974 KB of images and 1050 KB of JavaScript across 84 separate downloads. On a fast connection that's fine. On a phone with patchy mobile data, that's several seconds of blank screen before the page is readable.
How we know: median across loads

### 6. [MEDIUM] Security headers are missing or weak
Category: Security
Why it matters: The server response is missing browser-hardening headers that protect visitors and are a standard security and agency checklist item. Missing or weak here: Content-Security-Policy (the main defense against injected and cross-site scripts); clickjacking protection (X-Frame-Options or a CSP frame-ancestors rule); HSTS (Strict-Transport-Security, which forces HTTPS on return visits); X-Content-Type-Options: nosniff (stops MIME-type sniffing attacks). These are set at the server, CDN, or host level (most platforms expose them in settings or a config file) and do not change how the site looks or performs.

### 7. [MEDIUM] 6 interactive elements have no stable, accessible identity
Category: Accessibility (WCAG), Tracking
Why it matters: These elements are clicked like buttons but expose no accessible name, or are a plain div/span used as a control with no role. Assistive tech announces only a role (or nothing), and analytics and heatmaps have no human-readable label or stable selector to bind the click to, so the click is both inaccessible and untrackable, and any redesign silently breaks click aggregation. Give each one a real <button>/<a>, an aria-label, and a stable id or data-attribute.
Exact elements found: "reversely-icon" (div.installAppBtn) (div/span used as a button, no role), (button.btn-close) (no accessible name), "People" (div.cat_tag) (div/span used as a button, no role), "Similar" (div.cat_tag) (div/span used as a button, no role), "Duplicates" (div.cat_tag) (div/span used as a button, no role), "Face Search" (div.cat_tag) (div/span used as a button, no role)

### 8. [LOW] Unused JavaScript is being downloaded
Category: Performance
Why it matters: Code that never runs on this page still costs download and parse time on every visit. Splitting or removing it speeds up load. Lighthouse measured: Est savings of 478 KiB.

### 9. [LOW] Unused CSS is being downloaded
Category: Performance
Why it matters: Style rules that this page never uses still block rendering while they download. Trimming them frees the paint path. Lighthouse measured: Est savings of 52 KiB.

### 10. [LOW] The page loads from a lot of third-party services
Why it matters: Around 20 separate outside domains load on this page (analytics, ads, chat widgets, fonts). Each one is a connection that can be slow, fail, or change behavior outside your control.
How we know: median across loads

### 11. [LOW] No structured data for rich search results
Why it matters: The page has no schema.org markup. Adding the right type (Product, Article, Organization, FAQ) lets Google show rich results like star ratings and prices, which lift click-through for free.

### 12. [LOW] 4 potential dead-click targets
Category: Conversion, Accessibility (WCAG), Tracking
Why it matters: Elements styled like buttons but with no anchor, no <button> wrapper, no role="button", and no click attribute. Real visitors tap these expecting something to happen, then leave. Examples on this page: "People" (div.cat_tag), "Similar" (div.cat_tag), "Duplicates" (div.cat_tag).
Exact elements found: "People" (div.cat_tag), "Similar" (div.cat_tag), "Duplicates" (div.cat_tag), "Face Search" (div.cat_tag)

### 13. [LOW] No llms.txt file
Category: SEO
Why it matters: No /llms.txt. Optional: some AI tools read this file (Anthropic, Vercel, Stripe, Cloudflare and Hugging Face publish one, and AI coding assistants use it to find docs), so adding one is a cheap courtesy to them. Google has said in writing that Google Search and its AI features do not use llms.txt, so do not expect a search-ranking or AI Overviews benefit from it.

### 14. [LOW] No Organization or WebSite schema
Category: SEO
Why it matters: No site-wide Organization or WebSite structured data found on any crawled page. This is the schema that tells Google and AI engines who you are (name, logo, social profiles) for the knowledge panel and brand recognition in AI answers. (Found across a sample of 8 pages from your sitemap, a partial crawl rather than your full site.)

### 15. [LOW] Some text is too small to read on phones
Affects: mobile only
Category: Accessibility (WCAG), Conversion
Why it matters: 8 chunks of text come in under 12 pixels on this page. Most visitors don't zoom, they just skim past anything that small. Bumping the smallest body text to 14 pixels makes the page read without effort.
How we know: median across loads

## How to respond
Work through the issues in order. For each one give me the specific change that fixes it: real code or real copy, not advice. Keep changes minimal and match the existing style of the site.
Where several issues share one root cause, say so and fix it once rather than patching each symptom.
If an issue cannot be fixed without seeing more of the code, say exactly which file or selector you need instead of guessing.
15 findings, ready to paste

02Performance: phone, desktop, and real visitors

MetricMobileDesktopRead
TTFB (lab median)75 ms69 msLab
FCP (lab median)134 ms158 msLab
LCP (lab median)208 ms202 msGood
Page weight (median)2.1 MB3.2 MBWatch
Real LCP (p75, url)1.8 sGood
Real INP (p75)89 msGood
Real CLS (p75)0.00Good

Google Lighthouse (lab): Performance 56 mobile / 76 desktop, SEO 100, Accessibility 99, Best Practices 92.

Lab numbers are from a headless mobile browser on an unthrottled connection: treat them as a floor, not a typical experience.

03Tiny buttons are hard to tap on mobile

4 of 32 tappable items on this page come in below the platform minimums for reliable tapping on a phone (Apple recommends 44pt, Android 48dp; WCAG 2.5.8 sets 24px as the hard accessibility floor). The same ones came up small on every one of the 4 test loads, so this is the page itself, not a fluke.

When customers can't tap what they expect to, they get frustrated and many of them leave. They don't file a bug. They don't try again. They just leave. A desktop dashboard can't see this because it's the difference between a thumb and a cursor.

The buttons measuring below the minimum on this scan:

  • span 131x20 "upload an image."
  • a 87x19 "Reversely.ai"
  • a 170x20 "reersely-logo"
  • a 92x20 "Reversely.ai"

The fix is CSS-only on most sites: add padding around the icon (don't just change the icon size) so the actual tap area is at least 44×44 pixels. No redesign, no new assets.

04Technical SEO & structured data

CheckResult
TitleReversely.ai - AI Reverse Image Search (38 chars)
Meta description141 chars
H11 on page
CanonicalPresent
Structured data (JSON-LD)None
Open GraphTitle + image

05The fix checklist

Everything to fix, priority first, each tagged with the screen it affects and a rough effort. Work top to bottom.

  1. Page is heavy and slow on mobile dataBothSmall
  2. Unused JavaScript is being downloadedBothVaries
  3. Unused CSS is being downloadedBothVaries
  4. The page loads from a lot of third-party servicesBothDev afternoon
  5. 8 form fields have no labelBothVaries
  6. Meta Pixel (Facebook) is installed but misconfiguredBothVaries
  7. Add quotations so AI engines cite this pageBothVaries
  8. Google Analytics tracking brokenBothDev afternoon
  9. No structured data for rich search resultsBothVaries
  10. 4 potential dead-click targetsBothCSS only
  11. No llms.txt fileBothVaries
  12. No Organization or WebSite schemaBothVaries
  13. Security headers are missing or weakBothVaries
  14. 6 interactive elements have no stable, accessible identityBothDev afternoon
  15. Some text is too small to read on phonesMobileCSS only

Effort is a rough read from the outside: "CSS only" means no new assets or backend work, "1 line" means a single tag, "Dev afternoon" means a developer needs to touch tracking or scripts.

06What this report cannot tell you

Everything above is from the outside, looking at the page on a simulated phone and desktop. The questions that actually decide revenue need real visitors. Install the Harvv pixel (one script tag, 16 KB, zero personal data, no engineering project) and within about 72 hours you'd know which buttons real customers tapped and missed, how often Google Analytics is missing visits, and exactly where mobile shoppers stalled and left. This report shows you where to look. The pixel shows you how often it happens, and to whom.

What to do next
See this same depth on your real visitors, every day.

Drop the Harvv pixel on reversely.ai and we turn this one-off scan into ongoing measured behavior: which taps miss, where sessions stall, and the real drop rates. Free to start, no card needed.

Add the pixel free

07How we did this, and what it can't prove

  • 4 mobile + 2 desktop loads of one URL from headless Chrome (iPhone viewport at 390px, desktop at 1366px), September 8, 2026. Enough loads to separate real defects from random noise, not a full-site crawl.
  • Lab numbers, not real-user numbers, except the CrUX rows, which are real Chrome users. Real devices on real networks run slower.
  • Friction is inferred, not counted. We can prove a button is small. We can't, from the outside, count how often it causes a missed tap. That requires the pixel on a live page.

About Harvv, the source of this teardown

Harvv is a behavioral UX analytics platform (harvv.com). A lightweight JavaScript pixel captures how real visitors behave on a site (dead clicks, rage clicks, scroll depth, Core Web Vitals, JavaScript errors, and 50+ other signals) and the engine turns them into prioritized, plain-English findings. This teardown is the outside-in version of that: the same detectors run against a public page, with no pixel installed.

How to read it. Every finding here is a reproducible, automated measurement, not an opinion: element sizes, contrast ratios, load metrics, and structured-data checks that anyone can re-run against the same URL. The method is stated in full above. Automated testing catches a subset of issues, so this is a starting point, not a certification.

Full disclosure. Harvv makes the pixel that would measure the friction these findings imply, so we have a commercial interest. That is exactly why the findings are kept to things a reader can verify independently, and why nothing here is inflated: an unreproducible claim would undermine the tool it is meant to demonstrate.

Prepared by Harvv (harvv.com), a behavioral UX analytics platform. Last updated September 8, 2026.

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